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-supervised tasks (i.e. k-nearest neighbours, Decision Trees, Neural Networks, Logistic Regression, Gradient Boosting, Self-Organizing Maps); Advanced knowledge of Python programming, namely numpy, pandas
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based on metrics and social network analysis. The objectives of this research are to identify which data-driven criteria categorize a person as an influencer in the financial context; examine variations
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